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                        - import openai
 - import sentry_sdk
 - from langfuse import parse_error
 - from sentry_sdk.integrations.celery import CeleryIntegration
 - from sentry_sdk.integrations.flask import FlaskIntegration
 - from werkzeug.exceptions import HTTPException
 - 
 - from configs import dify_config
 - from core.model_runtime.errors.invoke import InvokeRateLimitError
 - 
 - 
 - def before_send(event, hint):
 -     if "exc_info" in hint:
 -         exc_type, exc_value, tb = hint["exc_info"]
 -         if parse_error.defaultErrorResponse in str(exc_value):
 -             return None
 - 
 -     return event
 - 
 - 
 - def init_app(app):
 -     if dify_config.SENTRY_DSN:
 -         sentry_sdk.init(
 -             dsn=dify_config.SENTRY_DSN,
 -             integrations=[FlaskIntegration(), CeleryIntegration()],
 -             ignore_errors=[
 -                 HTTPException,
 -                 ValueError,
 -                 openai.APIStatusError,
 -                 InvokeRateLimitError,
 -                 parse_error.defaultErrorResponse,
 -             ],
 -             traces_sample_rate=dify_config.SENTRY_TRACES_SAMPLE_RATE,
 -             profiles_sample_rate=dify_config.SENTRY_PROFILES_SAMPLE_RATE,
 -             environment=dify_config.DEPLOY_ENV,
 -             release=f"dify-{dify_config.CURRENT_VERSION}-{dify_config.COMMIT_SHA}",
 -             before_send=before_send,
 -         )
 
 
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